<class 'pandas.core.frame.DataFrame'>
MultiIndex: 846384 entries, (Timestamp('2009-01-31 00:00:00'), '000001.XSHE') to (Timestamp('2022-12-31 00:00:00'), '689009.XSHG')
Data columns (total 28 columns):
# Column Non-Null Count Dtype
--- ------ -------------- -----
0 close 508232 non-null float64
1 open 508232 non-null float64
2 high 508232 non-null float64
3 low 508232 non-null float64
4 avg 508232 non-null float64
5 volume 846384 non-null float64
6 market_cap 508237 non-null float64
7 turnover_ratio 507845 non-null float64
8 money 846384 non-null float64
9 ep 508189 non-null float64
10 skew 513698 non-null float64
11 distance 448420 non-null float64
12 mom1M 503194 non-null float64
13 mom2M 498317 non-null float64
14 mom3M 493464 non-null float64
15 mom4M 488635 non-null float64
16 mom5M 483848 non-null float64
17 mom6M 479108 non-null float64
18 mom7M 474389 non-null float64
19 mom8M 469665 non-null float64
20 mom9M 464951 non-null float64
21 mom10M 460270 non-null float64
22 mom11M 455623 non-null float64
23 mom12M 450991 non-null float64
24 Mom2M 498184 non-null float64
25 turnover3M 497688 non-null float64
26 amount3M 836308 non-null float64
27 stddev_diff 508835 non-null float64
dtypes: float64(28)
memory usage: 184.2+ MB